On the whole, with the correlation analysis, we confirmed the clinical relevance of the S-estimator maps.
As other measures of synchronization [54], [55], the S-estimator is affected by the amplitude of the EEG signals.
These differences in power, uniform over the major part of the head surface, cannot account for the S-estimator topography.
A special application of the general result is the breakdown point behavior of TL estimators and related estimators as the S estimators in generalized linear models.
The whole-head mapping of multivariate synchronization with S-estimator revealed a specific synchronization landscape in schizophrenia patients.
Both differences in the power of a signal and differences in synchronization among sources distributed under a sensor and its neighbors can result in S-estimator changes.
The d n/d s estimator is generally used to evaluate and compare the strength of selection.
By exploring the spatial information of the sources, more robust pitch estimators have been proposed [10 14].
In contrast, with increasing dependencies between sources, the commonly used CS estimator underestimates the true number of cases (14 ).
The random variable kstart denotes the time duration between source occurrence and activation of the estimator.
